What is Caden AI?
Caden AI is a platform designed to facilitate the development of AI-powered applications leveraging users' data through RAG and GraphRAG technologies. It is model-agnostic, supporting a range of Large Language Models (LLMs) including OpenAI, Google Gemini, Anthropic Claude, Cohere, and open-source models via various providers.
The platform offers pre-built connectors for common data sources like Google Docs and Notion, in addition to API and webhook support for direct data uploads. Caden AI handles all infrastructure and scaling aspects, managing vector databases, full-text search indexes, graph databases, and data pipelines. Integration is simplified through TypeScript/JavaScript libraries and REST APIs, with end-to-end logging for full visibility and rapid experimentation capabilities.
Features
- Model Agnostic: Supports OpenAI, Google Gemini, Anthropic Claude, Cohere, and open-source models.
- Format Agnostic: Utilizes pre-built connectors for sources like Google Docs, Notion, and supports direct uploads via API or webhooks.
- Fully Hosted: Manages infrastructure, including vector databases, full-text search indexes, and graph databases.
- Easy Integration: Offers TypeScript/JavaScript library and REST APIs for seamless integration.
- End-to-End Logging: Provides complete visibility into AI applications.
- Rapid Experimentation: Facilitates testing multiple prompts and models.
- Knowledge Graphs: Instantly create and query knowledge graphs.
Use Cases
- Build chatbots that know your domain and cite sources.
- Create analytics tools for teams.
- Develop recommendation systems for customers.
- Turn unstructured documents into structured data for app integration.
